mlr3shiny: Machine Learning in 'shiny' with 'mlr3'

A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.

Version: 0.3.0
Depends: R (≥ 3.6)
Imports: mlr3 (≥ 0.12.0), mlr3measures (≥ 0.3.1), mlr3learners, mlr3pipelines, Metrics, shiny (≥ 1.6.0), shinydashboard, shinyjs (≥ 2.0.0), shinyWidgets, shinyalert, data.table (≥ 1.12.8), DT (≥ 0.11), stringr, plyr, dplyr, purrr, stats, patchwork
Suggests: testthat (≥ 2.1.0), shinytest, devtools, ranger, e1071, xgboost, igraph, readxl, DALEX, DALEXtra, bslib, haven
Published: 2023-09-30
DOI: 10.32614/CRAN.package.mlr3shiny
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff at>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Citation: mlr3shiny citation info
Materials: README NEWS
CRAN checks: mlr3shiny results


Reference manual: mlr3shiny.pdf


Package source: mlr3shiny_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3shiny_0.3.0.tgz, r-oldrel (arm64): mlr3shiny_0.3.0.tgz, r-release (x86_64): mlr3shiny_0.3.0.tgz, r-oldrel (x86_64): mlr3shiny_0.3.0.tgz
Old sources: mlr3shiny archive


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